Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "180" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 62 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 60 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459878 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 17.633879 | 20.205936 | 56.510570 | 57.999919 | 13.003818 | 17.934585 | 7.025730 | 11.381504 | 0.0498 | 0.0539 | 0.0042 | nan | nan |
| 2459876 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 17.515483 | 19.728999 | 51.835015 | 54.071161 | 29.911460 | 44.107806 | 3.933375 | 8.400843 | 0.0507 | 0.0536 | 0.0051 | nan | nan |
| 2459875 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.429328 | 21.267262 | 67.974807 | 70.303339 | 13.475890 | 20.789111 | 2.501236 | 9.515399 | 0.0490 | 0.0511 | 0.0044 | nan | nan |
| 2459874 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 26.096463 | 29.889995 | 35.405084 | 36.942670 | 18.371861 | 27.605095 | 2.514647 | 5.691069 | 0.0500 | 0.0524 | 0.0046 | nan | nan |
| 2459873 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 19.670043 | 22.249482 | 45.877123 | 47.771824 | 7.346190 | 11.261481 | 0.871018 | 3.037165 | 0.0510 | 0.0535 | 0.0046 | nan | nan |
| 2459872 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 17.138455 | 19.740914 | 58.759070 | 61.271108 | 20.305044 | 31.538726 | 1.332319 | 3.472727 | 0.0460 | 0.0480 | 0.0047 | nan | nan |
| 2459871 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.326531 | 16.129220 | -1.043392 | 65.420508 | 0.842780 | 26.063008 | 0.348054 | 1.999046 | 0.7051 | 0.0511 | 0.4663 | nan | nan |
| 2459870 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.137535 | 26.766847 | -0.847011 | 49.358770 | 2.850698 | 18.403905 | 7.853925 | 11.721334 | 0.7064 | 0.0539 | 0.5145 | nan | nan |
| 2459869 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.591307 | 21.290162 | -0.670099 | 49.013095 | 1.340842 | 23.192042 | 0.888791 | 6.364524 | 0.7117 | 0.0560 | 0.5189 | nan | nan |
| 2459868 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.426475 | 24.590734 | -0.781573 | 74.345981 | 0.233013 | 17.218584 | 0.700221 | 5.731783 | 0.6926 | 0.0515 | 0.5246 | nan | nan |
| 2459867 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.296550 | 17.695744 | -1.122896 | 58.842780 | 1.422923 | 10.065486 | 0.045318 | 3.441891 | 0.7088 | 0.0515 | 0.5265 | nan | nan |
| 2459866 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.099602 | 19.935825 | -0.972845 | 55.632427 | 3.051884 | 11.491233 | 3.536409 | 4.869662 | 0.7076 | 0.0574 | 0.5178 | nan | nan |
| 2459865 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.112729 | 22.388619 | 0.328185 | 67.835651 | 1.695596 | 24.145428 | 0.409158 | 13.087611 | 0.7268 | 0.0503 | 0.4813 | nan | nan |
| 2459864 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.685368 | 27.533643 | 0.676176 | 27.766198 | 0.806128 | 13.506084 | 1.700295 | 8.119318 | 0.7001 | 0.0558 | 0.5240 | nan | nan |
| 2459863 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.912673 | 16.638988 | 0.348451 | 8.958414 | 2.753929 | 5.233976 | 0.135683 | 2.945875 | 0.6965 | 0.0566 | 0.5194 | nan | nan |
| 2459862 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -1.008685 | 16.714342 | -0.636692 | 31.899099 | 0.910464 | 19.148834 | 1.037677 | 3.514165 | 0.6797 | 0.0620 | 0.4858 | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.494072 | 12.565707 | -0.858844 | 9.181248 | -0.124357 | 3.320185 | -0.061853 | 2.425909 | 0.7141 | 0.0546 | 0.4999 | nan | nan |
| 2459860 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.915794 | 13.902931 | 1.307038 | 26.583274 | -0.790570 | 21.849200 | 0.159835 | 2.208468 | 0.7216 | 0.0601 | 0.5423 | nan | nan |
| 2459859 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.475426 | 11.863988 | -1.116654 | 9.861733 | -0.447142 | 2.909409 | -0.249289 | 1.151437 | 0.7272 | 0.0649 | 0.5407 | nan | nan |
| 2459858 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.354704 | 12.583797 | -1.093573 | 10.111837 | -0.298745 | 3.082054 | -0.271485 | 2.454678 | 0.7365 | 0.0605 | 0.5453 | 3.801005 | 4.887046 |
| 2459857 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.284670 | 5.848462 | -0.156356 | 1.787089 | 3.636914 | 1.855439 | 0.486818 | 8.990686 | 0.0489 | 0.0400 | 0.0118 | nan | nan |
| 2459856 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.038063 | 18.985491 | 1.838854 | 24.878202 | 0.369400 | 12.486892 | 2.424239 | 5.938325 | 0.7211 | 0.0609 | 0.5270 | 2.776559 | 1.211511 |
| 2459855 | RF_maintenance | 100.00% | 0.00% | 78.16% | 0.00% | 100.00% | 0.00% | 1.350007 | 15.708372 | -1.317301 | 24.635947 | -0.513129 | 3.765720 | -0.031798 | 1.631937 | 0.7114 | 0.3255 | 0.5072 | 11.391516 | 2.128755 |
| 2459854 | RF_maintenance | 100.00% | 0.00% | 72.52% | 0.00% | 100.00% | 0.00% | 1.060858 | 14.142112 | -0.343330 | 18.794172 | -0.139505 | 3.756812 | 2.877606 | 6.205619 | 0.7252 | 0.3540 | 0.5200 | 12.041243 | 2.064572 |
| 2459853 | RF_maintenance | 100.00% | 0.00% | 85.95% | 0.00% | 100.00% | 0.00% | 0.639601 | 13.694874 | -0.023292 | 25.912013 | -0.160252 | 9.948857 | -0.086500 | 3.893170 | 0.7502 | 0.3030 | 0.5317 | 11.220061 | 2.235381 |
| 2459852 | RF_maintenance | 100.00% | 0.00% | 21.62% | 0.00% | 100.00% | 0.00% | 1.337568 | 11.944438 | 0.045920 | 26.573518 | -0.936383 | 14.336529 | -0.317848 | 11.418353 | 0.8255 | 0.5656 | 0.3636 | 38.362638 | 5.467818 |
| 2459851 | RF_maintenance | 100.00% | 0.00% | 76.80% | 0.00% | 100.00% | 0.00% | 0.377893 | 18.219426 | 0.304240 | 28.932192 | 0.809093 | 38.281984 | 0.291187 | 18.388783 | 0.7631 | 0.3723 | 0.4646 | 12.043645 | 2.635432 |
| 2459850 | RF_maintenance | 100.00% | 0.00% | 70.68% | 0.00% | 100.00% | 0.00% | 0.702011 | 16.391488 | 0.083443 | 24.158585 | -0.138962 | 17.478128 | -0.321608 | 14.493327 | 0.7526 | 0.4172 | 0.4383 | 10.622893 | 2.194920 |
| 2459849 | RF_maintenance | 100.00% | 0.00% | 73.35% | 0.00% | 100.00% | 0.00% | 0.963389 | 14.995138 | 1.979400 | 47.768433 | -0.823038 | 11.100182 | 0.283643 | 5.809025 | 0.7512 | 0.3972 | 0.4568 | 11.340893 | 2.290104 |
| 2459848 | RF_maintenance | 100.00% | 0.00% | 69.82% | 0.00% | 100.00% | 0.00% | 0.896082 | 13.384574 | 1.585824 | 31.137147 | 0.303165 | 19.242483 | -0.477687 | 3.344519 | 0.7296 | 0.4039 | 0.4638 | 9.838633 | 2.083691 |
| 2459847 | RF_maintenance | 100.00% | 0.00% | 88.61% | 0.00% | 100.00% | 0.00% | 0.905287 | 15.432055 | 1.278658 | 29.334218 | 1.945267 | 24.505966 | -0.238808 | 1.675383 | 0.7365 | 0.2869 | 0.5407 | 10.394799 | 2.158828 |
| 2459845 | RF_maintenance | 100.00% | 0.00% | 70.76% | 0.00% | 100.00% | 0.00% | 0.912308 | 17.011969 | 2.700366 | 40.054909 | -0.120443 | 14.266041 | -0.477035 | 1.341121 | 0.7234 | 0.3786 | 0.5164 | 10.911107 | 2.690750 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 3.146371 | 13.803471 | -0.149260 | 9.155432 | 1.112976 | 3.338336 | 0.067935 | 10.028663 | 0.0280 | 0.0455 | 0.0022 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 1.20% | 71.62% | 0.00% | 100.00% | 0.00% | 1.512337 | 16.907226 | 0.258464 | 19.747980 | -0.470597 | 62.524908 | -0.719830 | 1.821682 | 0.7381 | 0.3879 | 0.5163 | 12.064062 | 2.760082 |
| 2459842 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.251474 | 10.814198 | -0.585350 | 9.580710 | 0.582173 | -1.530341 | -0.151280 | 1.117589 | 0.7499 | 0.2824 | 0.4710 | 16.204803 | 3.773763 |
| 2459841 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 4.276053 | 14.113450 | -0.421291 | 6.201254 | 10.264707 | 3.713612 | 0.904494 | 7.969068 | 0.0283 | 0.0486 | 0.0030 | nan | nan |
| 2459839 | RF_maintenance | 100.00% | - | - | - | - | - | -0.818146 | 0.076465 | 0.347971 | 1.038528 | 0.323466 | 2.149394 | 0.705777 | 9.068154 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 100.00% | 0.00% | 82.83% | 0.00% | 100.00% | 0.00% | 0.612728 | 16.779975 | -0.092527 | 22.834655 | -1.530002 | 24.415888 | -0.477320 | 1.598047 | 0.7561 | 0.3396 | 0.5237 | 0.000000 | 0.000000 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0614 | 0.0676 | 0.0079 | nan | nan |
| 2459835 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.000016 | 2.460828 | -0.688467 | 2.917185 | 1.792927 | -0.321100 | -0.181886 | 0.217141 | 0.0590 | 0.0660 | 0.0069 | nan | nan |
| 2459833 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.989673 | 5.164622 | 0.473588 | 3.903395 | 1.357113 | 2.131046 | 0.495337 | 10.441877 | 0.0469 | 0.0437 | 0.0016 | nan | nan |
| 2459832 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459831 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -1.417215 | 0.312268 | 0.254120 | 1.039436 | 0.590858 | 1.125077 | 0.253242 | 5.593098 | 0.0561 | 0.0799 | 0.0107 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.374998 | 26.052420 | 0.099981 | 34.797876 | 0.381057 | 28.300817 | -0.113151 | 4.462440 | 0.8095 | 0.2595 | 0.6512 | 11.903415 | 2.622106 |
| 2459829 | RF_maintenance | 100.00% | 0.00% | 88.18% | 0.00% | 100.00% | 0.00% | 1.551241 | 28.714922 | 0.052335 | 29.015137 | -0.342044 | 26.307828 | 1.163995 | 7.269553 | 0.7623 | 0.3247 | 0.5453 | 10.528193 | 4.968810 |
| 2459828 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.596565 | 22.018623 | 0.314459 | 30.466377 | 0.527105 | 25.746369 | -0.190280 | 10.417717 | 0.8066 | 0.2685 | 0.6358 | 0.000000 | 0.000000 |
| 2459827 | RF_maintenance | 100.00% | 0.00% | 87.11% | 0.00% | 100.00% | 0.00% | 0.668533 | 21.783497 | 0.775231 | 35.333569 | -0.408415 | 21.485000 | 1.048863 | 0.929200 | 0.7641 | 0.3132 | 0.5487 | 0.000000 | 0.000000 |
| 2459826 | RF_maintenance | 100.00% | 0.00% | 91.94% | 0.00% | 100.00% | 0.00% | 0.293425 | 19.380742 | 0.856557 | 38.001862 | 0.762048 | 34.662745 | -0.014999 | 6.633674 | 0.8000 | 0.2852 | 0.6108 | 0.000000 | 0.000000 |
| 2459825 | RF_maintenance | 100.00% | 0.00% | 89.25% | 0.00% | 100.00% | 0.00% | 0.512016 | 20.991490 | -0.454296 | 30.386859 | -0.391963 | 19.574806 | -0.655855 | 0.056705 | 0.8004 | 0.2955 | 0.6115 | 17.302808 | 2.948787 |
| 2459824 | RF_maintenance | 100.00% | 0.00% | 76.95% | 0.00% | 100.00% | 0.00% | 0.572202 | 16.571528 | -0.444507 | 25.553688 | 0.048312 | 16.516003 | 0.109992 | 2.351872 | 0.7272 | 0.3592 | 0.4973 | 14.884317 | 3.350603 |
| 2459823 | RF_maintenance | 100.00% | 0.00% | 92.94% | 0.00% | 100.00% | 0.00% | 0.825330 | 16.538335 | 0.292635 | 43.911897 | 1.929401 | 24.079039 | 0.445894 | 21.951941 | 0.7658 | 0.2819 | 0.5823 | 317.222939 | 41.389027 |
| 2459822 | RF_maintenance | 100.00% | 0.00% | 78.49% | 0.00% | 100.00% | 0.00% | 0.941260 | 18.995992 | 0.579025 | 40.950142 | -0.159650 | 21.752081 | 0.445364 | 0.299743 | 0.8033 | 0.3373 | 0.6101 | 15.619641 | 3.902542 |
| 2459821 | RF_maintenance | 100.00% | 0.00% | 75.81% | 0.00% | 100.00% | 0.00% | 1.159929 | 21.652020 | 0.534510 | 41.460440 | -0.902388 | 18.380685 | -0.842125 | -0.697402 | 0.7924 | 0.3489 | 0.6074 | 17.845348 | 4.710195 |
| 2459820 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459817 | RF_maintenance | 100.00% | 0.00% | 65.05% | 0.00% | 100.00% | 0.00% | 0.905097 | 17.259401 | 0.221579 | 40.353831 | -0.215585 | 25.669197 | -0.668710 | 0.823651 | 0.7951 | 0.3948 | 0.5916 | 22.877875 | 4.962992 |
| 2459816 | RF_maintenance | 100.00% | 0.00% | 88.21% | 0.00% | 100.00% | 0.00% | 0.437769 | 15.505904 | -0.204303 | 41.880726 | 0.017429 | 35.151098 | 0.023085 | 6.540838 | 0.8441 | 0.3001 | 0.6773 | 11.967116 | 2.634683 |
| 2459815 | RF_maintenance | 100.00% | 0.00% | 59.68% | 0.00% | 100.00% | 0.00% | 0.611940 | 14.980339 | -0.039082 | 43.874762 | -0.576999 | 32.928818 | -0.523747 | 9.906970 | 0.7916 | 0.4303 | 0.6003 | 28.230084 | 5.226160 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 57.999919 | 17.633879 | 20.205936 | 56.510570 | 57.999919 | 13.003818 | 17.934585 | 7.025730 | 11.381504 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 54.071161 | 17.515483 | 19.728999 | 51.835015 | 54.071161 | 29.911460 | 44.107806 | 3.933375 | 8.400843 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 70.303339 | 18.429328 | 21.267262 | 67.974807 | 70.303339 | 13.475890 | 20.789111 | 2.501236 | 9.515399 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 36.942670 | 26.096463 | 29.889995 | 35.405084 | 36.942670 | 18.371861 | 27.605095 | 2.514647 | 5.691069 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 47.771824 | 19.670043 | 22.249482 | 45.877123 | 47.771824 | 7.346190 | 11.261481 | 0.871018 | 3.037165 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 61.271108 | 19.740914 | 17.138455 | 61.271108 | 58.759070 | 31.538726 | 20.305044 | 3.472727 | 1.332319 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 65.420508 | 16.129220 | -1.326531 | 65.420508 | -1.043392 | 26.063008 | 0.842780 | 1.999046 | 0.348054 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 49.358770 | -1.137535 | 26.766847 | -0.847011 | 49.358770 | 2.850698 | 18.403905 | 7.853925 | 11.721334 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 49.013095 | -1.591307 | 21.290162 | -0.670099 | 49.013095 | 1.340842 | 23.192042 | 0.888791 | 6.364524 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 74.345981 | -1.426475 | 24.590734 | -0.781573 | 74.345981 | 0.233013 | 17.218584 | 0.700221 | 5.731783 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 58.842780 | -1.296550 | 17.695744 | -1.122896 | 58.842780 | 1.422923 | 10.065486 | 0.045318 | 3.441891 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 55.632427 | 19.935825 | -1.099602 | 55.632427 | -0.972845 | 11.491233 | 3.051884 | 4.869662 | 3.536409 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 67.835651 | -1.112729 | 22.388619 | 0.328185 | 67.835651 | 1.695596 | 24.145428 | 0.409158 | 13.087611 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 27.766198 | 27.533643 | -1.685368 | 27.766198 | 0.676176 | 13.506084 | 0.806128 | 8.119318 | 1.700295 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | 16.638988 | -0.912673 | 16.638988 | 0.348451 | 8.958414 | 2.753929 | 5.233976 | 0.135683 | 2.945875 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 31.899099 | -1.008685 | 16.714342 | -0.636692 | 31.899099 | 0.910464 | 19.148834 | 1.037677 | 3.514165 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | 12.565707 | 12.565707 | -0.494072 | 9.181248 | -0.858844 | 3.320185 | -0.124357 | 2.425909 | -0.061853 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 26.583274 | -0.915794 | 13.902931 | 1.307038 | 26.583274 | -0.790570 | 21.849200 | 0.159835 | 2.208468 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | 11.863988 | -0.475426 | 11.863988 | -1.116654 | 9.861733 | -0.447142 | 2.909409 | -0.249289 | 1.151437 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | 12.583797 | 12.583797 | -0.354704 | 10.111837 | -1.093573 | 3.082054 | -0.298745 | 2.454678 | -0.271485 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Temporal Discontinuties | 8.990686 | 5.848462 | 2.284670 | 1.787089 | -0.156356 | 1.855439 | 3.636914 | 8.990686 | 0.486818 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 24.878202 | 1.038063 | 18.985491 | 1.838854 | 24.878202 | 0.369400 | 12.486892 | 2.424239 | 5.938325 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 24.635947 | 15.708372 | 1.350007 | 24.635947 | -1.317301 | 3.765720 | -0.513129 | 1.631937 | -0.031798 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 18.794172 | 14.142112 | 1.060858 | 18.794172 | -0.343330 | 3.756812 | -0.139505 | 6.205619 | 2.877606 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 25.912013 | 13.694874 | 0.639601 | 25.912013 | -0.023292 | 9.948857 | -0.160252 | 3.893170 | -0.086500 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 26.573518 | 1.337568 | 11.944438 | 0.045920 | 26.573518 | -0.936383 | 14.336529 | -0.317848 | 11.418353 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Temporal Variability | 38.281984 | 0.377893 | 18.219426 | 0.304240 | 28.932192 | 0.809093 | 38.281984 | 0.291187 | 18.388783 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 24.158585 | 0.702011 | 16.391488 | 0.083443 | 24.158585 | -0.138962 | 17.478128 | -0.321608 | 14.493327 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 47.768433 | 0.963389 | 14.995138 | 1.979400 | 47.768433 | -0.823038 | 11.100182 | 0.283643 | 5.809025 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 31.137147 | 13.384574 | 0.896082 | 31.137147 | 1.585824 | 19.242483 | 0.303165 | 3.344519 | -0.477687 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 29.334218 | 15.432055 | 0.905287 | 29.334218 | 1.278658 | 24.505966 | 1.945267 | 1.675383 | -0.238808 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 40.054909 | 17.011969 | 0.912308 | 40.054909 | 2.700366 | 14.266041 | -0.120443 | 1.341121 | -0.477035 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | 13.803471 | 3.146371 | 13.803471 | -0.149260 | 9.155432 | 1.112976 | 3.338336 | 0.067935 | 10.028663 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Temporal Variability | 62.524908 | 16.907226 | 1.512337 | 19.747980 | 0.258464 | 62.524908 | -0.470597 | 1.821682 | -0.719830 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | 10.814198 | 0.251474 | 10.814198 | -0.585350 | 9.580710 | 0.582173 | -1.530341 | -0.151280 | 1.117589 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | 14.113450 | 4.276053 | 14.113450 | -0.421291 | 6.201254 | 10.264707 | 3.713612 | 0.904494 | 7.969068 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Temporal Discontinuties | 9.068154 | 0.076465 | -0.818146 | 1.038528 | 0.347971 | 2.149394 | 0.323466 | 9.068154 | 0.705777 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Temporal Variability | 24.415888 | 16.779975 | 0.612728 | 22.834655 | -0.092527 | 24.415888 | -1.530002 | 1.598047 | -0.477320 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 2.917185 | 2.460828 | -0.000016 | 2.917185 | -0.688467 | -0.321100 | 1.792927 | 0.217141 | -0.181886 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Temporal Discontinuties | 10.441877 | 5.164622 | -0.989673 | 3.903395 | 0.473588 | 2.131046 | 1.357113 | 10.441877 | 0.495337 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Temporal Discontinuties | 5.593098 | -1.417215 | 0.312268 | 0.254120 | 1.039436 | 0.590858 | 1.125077 | 0.253242 | 5.593098 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 34.797876 | 0.374998 | 26.052420 | 0.099981 | 34.797876 | 0.381057 | 28.300817 | -0.113151 | 4.462440 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 29.015137 | 28.714922 | 1.551241 | 29.015137 | 0.052335 | 26.307828 | -0.342044 | 7.269553 | 1.163995 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 30.466377 | 22.018623 | 0.596565 | 30.466377 | 0.314459 | 25.746369 | 0.527105 | 10.417717 | -0.190280 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 35.333569 | 0.668533 | 21.783497 | 0.775231 | 35.333569 | -0.408415 | 21.485000 | 1.048863 | 0.929200 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 38.001862 | 19.380742 | 0.293425 | 38.001862 | 0.856557 | 34.662745 | 0.762048 | 6.633674 | -0.014999 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 30.386859 | 20.991490 | 0.512016 | 30.386859 | -0.454296 | 19.574806 | -0.391963 | 0.056705 | -0.655855 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 25.553688 | 0.572202 | 16.571528 | -0.444507 | 25.553688 | 0.048312 | 16.516003 | 0.109992 | 2.351872 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 43.911897 | 16.538335 | 0.825330 | 43.911897 | 0.292635 | 24.079039 | 1.929401 | 21.951941 | 0.445894 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 40.950142 | 0.941260 | 18.995992 | 0.579025 | 40.950142 | -0.159650 | 21.752081 | 0.445364 | 0.299743 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 41.460440 | 21.652020 | 1.159929 | 41.460440 | 0.534510 | 18.380685 | -0.902388 | -0.697402 | -0.842125 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 40.353831 | 0.905097 | 17.259401 | 0.221579 | 40.353831 | -0.215585 | 25.669197 | -0.668710 | 0.823651 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 41.880726 | 15.505904 | 0.437769 | 41.880726 | -0.204303 | 35.151098 | 0.017429 | 6.540838 | 0.023085 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Power | 43.874762 | 14.980339 | 0.611940 | 43.874762 | -0.039082 | 32.928818 | -0.576999 | 9.906970 | -0.523747 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 180 | N13 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |